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rhysc25/ReadMe.md

💫 About Me:

3rd year Cambridge Engineer, with interests in machine learning and embedded programming.
Developed projects specialising in algorithmic trading and analysis, as well as embedded machine learning models.

🌐 Socials:

LinkedIn email

💻 Tech Stack:

C C++ LaTeX Markdown AWS Apache Spark Apache Kafka Flask React MariaDB MySQL Keras Matplotlib NumPy Pandas scikit-learn TensorFlow Git GitHub

📊 GitHub Stats:



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  1. EquityPriceForecasting EquityPriceForecasting Public

    A website for fetching, storing and displaying market pricing data. Implements predictive machine learning models and backtesting.

    Python

  2. HABS_ML_Classifier HABS_ML_Classifier Public

    A machine learning pipeline for weather condition classification using an Arduino Nano 33 BLE sense

    C

  3. FBR25DashScreen FBR25DashScreen Public

    Forked from Oli-Hydon/FBR_22-23

    A repository developing code for an arduino nano, in order to display sensor data gathered from CAN BUS on a Nextion display

  4. RealTimeDataPipeline RealTimeDataPipeline Public

    A data pipeline using Kafka and Spark to publish and process market pricing data, and making use of a Postgresql database. Containerised with docker, and deployed onto AWS (EC2, RDS, S3).

    Python